Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data

TitleSupporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data
Publication TypeConference Paper
Year of Publication2007
AuthorsAmit Sheth, Prateek Jain, Farshad Hakimpour, Matthew Perry
Conference Name2nd International Conference on Geospatial Semantics (GEOS 07)
Pagination29-30
Date Published11/2007
Publisher GeoS 2007: http://geosco.org/geos2007/
Conference LocationMexico City, MX
Abstract

Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, the analytical process requires uncovering and analyzing complex thematic relationships between disparate people, places and events. Fundamentally new query operators based on the graph structure of Semantic Web data models, such as semantic associations, are proving useful for this purpose. However, these analysis mechanisms are primarily intended for thematic relationships. In this paper, we describe a framework built around the RDF metadata model for analysis of thematic, spatial and temporal relationships between named entities. We discuss modeling issues and present a set of semantic query operators. We also describe an efficient implementation in Oracle DBMS and demonstrate the scalability of our approach with a performance study using a large synthetic dataset from the national security domain.

DOI10.1007/978-3-540-76876-0_15
Full Text

Matthew Perry,Amit Sheth, Farshad Hakimpour, Prateek Jain. 'Supporting Complex Thematic, Spatial and Temporal Queries over Semantic Web Data', 2nd International Conference on Geospatial Semantics (GEOS '07), Mexico City, MX, November 29 - 30, 2007.
project: STT

hasEditor: Frederico T. Fonseca And M. Andrea Rodriguez And Sergei Levashkin

related resource url: http://dx.doi.org/10.1007/978-3-540-76876-0_15 and http://scholar.google.com/citations?view_op=view_citation&hl=en&user=2T3...

hasBookTitle: Lecture Notes in Computer Science Volume 4853